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Reinforcement learning
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881	CAPIR: Collaborative Action Planning with Intention Recognition Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:25 Stochastic control Markov models Artificial intelligence Action selection Markov decision process Ghostbusters Markov chain Reinforcement learning Statistics Markov processes Dynamic programming
882	Mobilized ad-hoc networks: A reinforcement learning approach Yu-Han Chang A.I. Lab, MIT Cambridge, MA 02139 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:54 Telecommunications engineering Routing Wireless ad-hoc network Wireless sensor network Network topology Mobile ad hoc network Link-state routing protocol Wireless mesh network Wireless networking Technology Wireless
883	Tag-Team Parenting: Surviving to Parent Another Day Learning Objectives: 1) Describe the tenants upon which tag-team parenting is based. 2) Show you how to analyze your child’s behavior as well as your own to prevent m Add to Reading List Source URL: www.tsa-usa.org Language: English - Date: 2012-05-16 15:32:42 Psychology Philosophy of mind Philosophy of psychology Reinforcement Applied behavior analysis Professional practice of behavior analysis Behaviorism Childhood Parenting
884	Feedback Controller Parameterizations for Reinforcement Learning John W. Roberts Ian R. Manchester Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2011-02-22 01:10:59 Systems science Youla–Kucera parametrization Adaptive control Optimal control Nonlinear control Model predictive control Kalman filter Robust control Automatic control Control theory Systems theory Cybernetics
885	Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms John W. Roberts and Russ Tedrake Computer Science and Artificial Intelligence Laboratory Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2008-09-11 13:21:52 Normal distribution Signal-to-noise ratio Gradient Reinforcement learning Multivariate normal distribution Variance Statistics Mathematical analysis Mathematics
886	CST: Constructing Skill Trees by Demonstration George Konidaris MIT CSAIL, 32 Vassar Street, Cambridge MA[removed]USA [removed] Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-06-08 19:48:51 Cognition Reinforcement learning Behavior Market segmentation Segmentation Humanoid robot Abstraction Skill Statistic Constructing skill trees Programming paradigms Mind
887	Autonomous Skill Acquisition on a Mobile Manipulator George Konidaris1,3 Scott Kuindersma2,3 Roderic Grupen2 1 MIT CSAIL [removed] Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-06-08 19:45:36 Reinforcement learning Humanoid robot Skill Mobile robot Reinforcement Behavior Cognition Philosophy of mind Constructing skill trees Robotics Robot
888	Scaling Up Decentralized MDPs Through Heuristic Search Jilles S. Dibangoye Christopher Amato INRIA Computer Science and AI Laboratory Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-03-11 16:08:28 Systems theory Markov processes Stochastic control Equations Mathematical optimization Markov decision process Reinforcement learning Automated planning and scheduling Bellman equation Statistics Dynamic programming Control theory
889	Producing Efficient Error-bounded Solutions for Transition Independent Decentralized MDPs Jilles S. Dibangoye Christopher Amato Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-03-11 16:10:29 Dynamic programming Stochastic control Mathematical sciences Markov processes Partially observable Markov decision process Markov decision process Reinforcement learning Algorithm Mathematical optimization Statistics Control theory Operations research
890	Influence-based Abstraction for Multiagent Systems Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-04-17 07:47:49 Stochastic control Multi-agent systems Markov models Partially observable Markov decision process Reinforcement learning Markov decision process Agent-based model Markov chain Affect Statistics Markov processes Dynamic programming

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